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NBA 16 - 17 常规赛投篮日志

NBA 16 - 17 常规赛投篮日志

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Basketball Classification

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    Data Structure ?

    * 以上分析是由系统提取分析形成的结果,具体实际数据为准。

    README.md

    This is the shot log for NBA in 16-17 regular season, grouped by teams. Inside the dataset includes the shot type, shot distance, shot angle, shot player, shot time, team name, etc. This data is scraped down from https://www.mysportsfeeds.com/ I came across these two great articles which discusses about the shooting rationality of individual NBA players: https://www.kaggle.com/selfishgene/kobe-bryant-shot-selection/psychology-of-a-professional-athlete https://www.kaggle.com/drgilermo/irrational-shot-selection The basic idea is that if an NBA player makes one shot, the next shot he takes tends to be more difficult and further away from the basket. So I was wondering, will this be the case for a team? If a team makes one shot, will they take a further and more difficult shot for the next one? Individuals tend to be less rational after making one shot, but how about a team as a group? Will the decision making from a group compensate for the irrationality of individuals? I wrote a blog about my analysis here: https://haowang204.wordpress.com/2017/06/03/shooting-rationality-of-nba-teams/ The python code is uploaded to: https://github.com/wh0801/NBA-shooting-rationality-2016-17-Regular-Season Let me know your thoughts!
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